Lead AI Scientist building AI for development economics and evidence synthesis.
Abelardo Carlos Martinez Lorenzo works across research and delivery: building systems that retrieve, structure, and synthesize evidence, then making those systems useful in real policy and research settings.
Abelardo Carlos Martinez Lorenzo leads AI work connected to ImpactAI, a World Bank initiative focused on making rigorous evidence from randomized controlled trials more accessible to policymakers.
View the ImpactAI team pageCore work includes pipelines for PDF parsing, scientific information extraction, entity linking, summarization, and the infrastructure needed to turn development economics literature into usable evidence.
See the CV detailsEarlier research concentrated on semantic parsing, multilingual meaning representation, AMR, and language technologies that help structure scientific and multilingual text.
Browse publicationsProject context
A consistent thread across Abelardo's work is taking ideas that begin in research settings and turning them into reliable systems. That includes model evaluation, domain adaptation, structured extraction pipelines, and the platform work needed to support them in practice.